• DocumentCode
    1675126
  • Title

    Multiwavelength lidar measurements at the City College of New York in support of the NOAA-NEAQS and NASA-INTEX-NA experiments

  • Author

    Hassebo, Yasser ; Zhao, Yu ; Gross, Barry ; Moshary, Fred ; Ahmed, Sam

  • Author_Institution
    Opt. Remote Sensing Lab., City Coll. of New York, NY, USA
  • fYear
    2005
  • Firstpage
    16
  • Lastpage
    23
  • Abstract
    Satellite measurements do not provide the vertical information needed to assess aerosol transport mechanisms. To supply this information, multiwavelength lidar measurements are needed to study the vertical structure of aerosol events. In support of NASA-INTEX and NOAA-NEAQS transport experiments; we present lidar retrievals, which identify multiple stratified particulate plumes occurring over New York City on 2004 July 21 in support of MODIS imagery. In particular, multiwavelength measurements at CCNY are used to determine the Ångström coefficient of the plumes that unambiguously identifies them as fine mode particulates and not cloud particles. A description of our lidar system capabilities and processing algorithms used to process simultaneous backscatter lidar measurements with Aeronet CIMEL Optical Depth (OD) data is presented and back trajectory analysis is used to confirm the source of the plumes to be from Alaskan wild fires. Finally, surface measurements from in situ particle counters are presented and show no enhanced PM2.5 loading. This result is supported by lidar measurements, which confirm that nearly all of the aerosol plumes are located above the normal aerosol boundary layer showing that satellite measurements are often incomplete and is not useful to assess surface air quality. In particular, we show that high PM2.5 events are triggered from more local sources such as the Ohio Basin and climatological conditions which drive the pollution to the surface.
  • Keywords
    aerosols; air pollution; atmospheric boundary layer; atmospheric movements; atmospheric techniques; fires; geophysical signal processing; multidimensional signal processing; optical radar; remote sensing by laser beam; smoke; AD 2004 07 21; Aeronet CIMEL Optical Depth data; Alaskan wild fires; Angstrom coefficient; City College of New York; MODIS imagery; NASA-INTEX-NA experiment; NOAA-NEAQS experiment; New York City; Ohio Basin; PM2.5 loading; USA; aerosol boundary layer; aerosol events; aerosol plumes; aerosol transport mechanism; air pollution; back trajectory analysis; backscatter lidar measurements; climatological conditions; data processing; fine mode particulates; in situ particle counters; lidar retrievals; multiwavelength lidar measurements; stratified particulate plumes; surface air quality assesment; surface measurements; vertical information; vertical structure; Aerosols; Cities and towns; Educational institutions; Image retrieval; Laser radar; MODIS; Particle measurements; Pollution measurement; Satellites; Surface contamination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing of Atmospheric Aerosols, 2005. IEEE Workshop on
  • Print_ISBN
    0-7803-9109-8
  • Electronic_ISBN
    0-7803-9110-1
  • Type

    conf

  • DOI
    10.1109/AERSOL.2005.1494143
  • Filename
    1494143